Anterior Medial Temporal Lobe Activation during Attempted Retrieval of Encoded Visuospatial Scenes: An Event-Related fMRI Study. - Serge A. R. B. Rombouts; Frederik Barkhof; M. P. Witter; W. C. M. Machielsen; Philip Scheltens (NeuroImage, 2001)

Patterns of Cerebral Atrophy in Dementia with Lewy Bodies Using Voxel-Based Morphometry. - Emma J. Burton; G. B. Karas; S. M. Paling; Robert C. Barber; E. David Williams; Clive G. Ballard; Ian G. McKeith; Philip Scheltens; Frederik Barkhof; John T. O'Brien (NeuroImage, 2002)

Frontostriatal system in planning complexity: a parametric functional magnetic resonance version of tower of london task. - Odile A. van den Heuvel; Henk J. Groenewegen; Frederik Barkhof; Richard H. C. Lazeron; Richard van Dyck; Dick J. Veltman (NeuroImage, 2003)

A comprehensive study of gray matter loss in patients with Alzheimer's disease using optimized voxel-based morphometry. - G. B. Karas; Emma J. Burton; Serge A. R. B. Rombouts; Ronald A. van Schijndel; John T. O'Brien; Philip Scheltens; Ian G. McKeith; E. David Williams; Clive G. Ballard; Frederik Barkhof (NeuroImage, 2003)

Identifying confounds to increase specificity during a "no task condition": Evidence for hippocampal connectivity using fMRI. - Serge A. R. B. Rombouts; Cornelis J. Stam; Joost P. A. Kuijer; Philip Scheltens; Frederik Barkhof (NeuroImage, 2003)

Challenging the cholinergic system in mild cognitive impairment: a pharmacological fMRI study. - Rutger Goekoop; Serge A. R. B. Rombouts; Cees Jonker; Anneke Hibbel; Dirk L. Knol; Luc Truyen; Frederik Barkhof; Philip Scheltens (NeuroImage, 2004)

Global and local gray matter loss in mild cognitive impairment and Alzheimer's disease. - G. B. Karas; Philip Scheltens; Serge A. R. B. Rombouts; Pieter Jelle Visser; Ronald A. van Schijndel; Nick C. Fox; Frederik Barkhof (NeuroImage, 2004)

Interindividual differences of medial temporal lobe activation during encoding in an elderly population studied by fMRI. - M. W. G. Vandenbroucke; Rutger Goekoop; E. J. J. Duschek; C. Netelenbos; Joost P. A. Kuijer; Frederik Barkhof; Philip Scheltens; Serge A. R. B. Rombouts (NeuroImage, 2004)

Raloxifene exposure enhances brain activation during memory performance in healthy elderly males; its possible relevance to behavior. - Rutger Goekoop; E. J. J. Duschek; Dirk L. Knol; Frederik Barkhof; C. Netelenbos; Philip Scheltens; Serge A. R. B. Rombouts (NeuroImage, 2005)

Delayed rather than decreased BOLD response as a marker for early Alzheimer's disease. - Serge A. R. B. Rombouts; Rutger Goekoop; Cornelis J. Stam; Frederik Barkhof; Philip Scheltens (NeuroImage, 2005)

Noradrenaline mediates amygdala activation in men and women during encoding of emotional material. - Anda H. van Stegeren; Rutger Goekoop; Walter Everaerd; Philip Scheltens; Frederik Barkhof; Joost P. A. Kuijer; Serge A. R. B. Rombouts (NeuroImage, 2005)

Changes in brain electrical activity during extended continuous word recognition. - Jan W. Van Strien; Rogier E. Hagenbeek; Cornelis J. Stam; Serge A. R. B. Rombouts; Frederik Barkhof (NeuroImage, 2005)

Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI. - Ying Wu; Simon K. Warfield; I. Leng Tan; William M. Wells III; Dominik S. Meier; Ronald A. van Schijndel; Frederik Barkhof; Charles R. G. Guttmann (NeuroImage, 2006)

Regional brain atrophy development is related to specific aspects of clinical dysfunction in multiple sclerosis. - Bas Jasperse; Hugo Vrenken; Ernesto Sanz-Arigita; Vincent de Groot; Stephen M. Smith 001; Chris H. Polman; Frederik Barkhof (NeuroImage, 2007)

Improved reliability of hippocampal atrophy rate measurement in mild cognitive impairment using fluid registration. - L. A. van de Pol; Josephine Barnes; Rachael I. Scahill; Chris Frost 001; Emma B. Lewis; Richard G. Boyes; Ronald A. van Schijndel; Philip Scheltens; Nick C. Fox; Frederik Barkhof (NeuroImage, 2007)

Reproducibility of fMRI in the clinical setting: Implications for trial designs. - Rose Bosnell; C. Wegner; Zsigmond Tamás Kincses; T. Korteweg; Federica Agosta; Olga Ciccarelli; Nicola De Stefano; Achim Gass; Jochen G. Hirsch; Heidi Johansen-Berg; Ludwig Kappos; Frederik Barkhof; et al. (NeuroImage, 2008)

Segmentation of age-related white matter changes in a clinical multi-center study. - Tim B. Dyrby; Egill Rostrup; William F. C. Baaré; Elisabeth C. W. van Straaten; Frederik Barkhof; Hugo Vrenken; Stefan Ropele; Reinhold Schmidt; Timo Erkinjuntti; Lars-Olof Wahlund; Leonardo Pantoni; Domenico Inzitari; et al. (NeuroImage, 2008)

Short-term adaptation to a simple motor task: A physiological process preserved in multiple sclerosis. - Laura Mancini; Olga Ciccarelli; F. Manfredonia; John S. Thornton; Federica Agosta; Frederik Barkhof; Christian F. Beckmann; Nicola De Stefano; Christian Enzinger; Franz Fazekas; Massimo Filippi; Achim Gass; et al. (NeuroImage, 2009)

Regional DTI differences in multiple sclerosis patients. - S. D. Roosendaal; Jeroen J. G. Geurts; Hugo Vrenken; H. E. Hulst; Keith S. Cover; J. A. Castelijns; Petra J. W. Pouwels; Frederik Barkhof (NeuroImage, 2009)

Microglial activation in healthy aging. - Alie Schuitemaker; Ronald Boellaard; Wiesje M. van der Flier; Marc A. Kropholler; Albert D. Windhorst; Frederik Barkhof; Cees Jonker; Reina W. Kloet; Adriaan A. Lammertsma; Philip Scheltens; Bart N. M. van Berckel (NeuroImage, 2010)

Increased microglial activation in MCI and AD: An (R)-[11C]PK11195 PET study. - Alie Schuitemaker; Marc A. Kropholler; Ronald Boellaard; Wiesje M. van der Flier; Reina W. Kloet; Dirk L. Knol; Albert D. Windhorst; Cees Jonker; Adriaan A. Lammertsma; Frederik Barkhof; Philip Scheltens; Bart N. M. van Berckel (NeuroImage, 2010)

Corrigendum to "Combining shape and connectivity analysis: An MRI study of thalamic degeneration in Alzheimer's disease" [NeuroImage 49 (2010) 1-8]. - Mojtaba Zarei; Brian Patenaude; Jessica Damoiseaux; Ciro Morgese; Steve M. Smith 001; Paul M. Matthews; Frederik Barkhof; Serge A. R. B. Rombouts; Ernesto Sanz-Arigita; Mark Jenkinson (NeuroImage, 2010)

Combining shape and connectivity analysis: An MRI study of thalamic degeneration in Alzheimer's disease. - Mojtaba Zarei; Brian Patenaude; Jessica Damoiseaux; Ciro Morgese; Steve M. Smith 001; Paul M. Matthews; Frederik Barkhof; Serge A. R. B. Rombouts; Ernesto Sanz-Arigita; Mark Jenkinson (NeuroImage, 2010)

Fast Eigenvector Centrality Mapping of Voxel-Wise Connectivity in Functional Magnetic Resonance Imaging: Implementation, Validation, and Interpretation. - Alle Meije Wink; Jan C. de Munck; Ysbrand D. van der Werf; Odile A. van den Heuvel; Frederik Barkhof (Brain Connect., 2012)

Optimizing parameter choice for FSL-Brain Extraction Tool (BET) on 3D T1 images in multiple sclerosis. - Veronica Popescu; Marco Battaglini; W. S. Hoogstrate; Sander C. J. Verfaillie; I. C. Sluimer; Ronald A. van Schijndel; Bob W. van Dijk; Keith S. Cover; Dirk L. Knol; Mark Jenkinson; Frederik Barkhof; Nicola De Stefano; et al. (NeuroImage, 2012)

The spatial distribution of age-related white matter changes as a function of vascular risk factors - Results from the LADIS study. - Egill Rostrup; Alida A. Gouw; Hugo Vrenken; Elisabeth C. W. van Straaten; Stefan Ropele; Leonardo Pantoni; Domenico Inzitari; Frederik Barkhof; Gunhild Waldemar (NeuroImage, 2012)

Functional segmentation of the hippocampus in the healthy human brain and in Alzheimer's disease. - Mojtaba Zarei; Christian F. Beckmann; Maja A. A. Binnewijzend; Menno M. Schoonheim; Mohammad Ali Oghabian; Ernesto Sanz-Arigita; Philip Scheltens; Paul M. Matthews; Frederik Barkhof (NeuroImage, 2013)

Corrigendum to "Functional segmentation of the hippocampus in the healthy human brain and in Alzheimer's disease" [Neuroimage 66 (2013) 28-35]. - Mojtaba Zarei; Christian F. Beckmann; Maja A. A. Binnewijzend; Menno M. Schoonheim; Mohammad Ali Oghabian; Ernesto Sanz-Arigita; Philip Scheltens; Paul M. Matthews; Frederik Barkhof (NeuroImage, 2013)

Single-Subject Gray Matter Graph Properties and Their Relationship with Cognitive Impairment in Early- and Late-Onset Alzheimer's Disease. - Betty M. Tijms; Hiu M. Yeung; Sietske A. M. Sikkes; Christiane Möller; Lieke L. Smits; Cornelis J. Stam; Philip Scheltens; Wiesje M. van der Flier; Frederik Barkhof (Brain Connect., 2014)

Hippocampal volume change measurement: Quantitative assessment of the reproducibility of expert manual outlining and the automated methods FreeSurfer and FIRST. - Emma R. Mulder; Remko A. de Jong; Dirk L. Knol; Ronald A. van Schijndel; Keith S. Cover; Pieter Jelle Visser; Frederik Barkhof; Hugo Vrenken (NeuroImage, 2014)

Structural degree predicts functional network connectivity: A multimodal resting-state fMRI and MEG study. - Prejaas Tewarie; Arjan Hillebrand; Edwin van Dellen; Menno M. Schoonheim; Frederik Barkhof; Chris Polman; Christian Beaulieu; G. Gong; Bob W. van Dijk; Cornelis J. Stam (NeuroImage, 2014)

Functional brain network analysis using minimum spanning trees in Multiple Sclerosis: An MEG source-space study. - Prejaas Tewarie; Arjan Hillebrand; Menno M. Schoonheim; Bob W. van Dijk; Jeroen J. G. Geurts; Frederik Barkhof; Chris Polman; Cornelis J. Stam (NeuroImage, 2014)

Highly accurate volumetry of the spinal cord. - Florian Weiler; Marita Daams; Carsten Lukas; Frederik Barkhof; Horst K. Hahn (Image Processing, 2015)

Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. - Esther E. Bron; Marion Smits; Wiesje M. van der Flier; Hugo Vrenken; Frederik Barkhof; Philip Scheltens; Janne M. Papma; Rebecca M. E. Steketee; Carolina Méndez Orellana; Rozanna Meijboom; Madalena Pinto; Joana R. Meireles; et al. (NeuroImage, 2015)

Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. - Christopher Bowles; Chen Qin; Christian Ledig; Ricardo Guerrero; Roger N. Gunn; Alexander Hammers; Eleni Sakka; David Alexander Dickie; Maria del C. Valdés Hernández; Natalie A. Royle; Joanna M. Wardlaw; Hanneke Rhodius-Meester; et al. (SASHIMI@MICCAI, 2016)

Differential Dementia Diagnosis on Incomplete Data with Latent Trees. - Christian Ledig; Sebastian Kaltwang; Antti Tolonen; Juha Koikkalainen; Philip Scheltens; Frederik Barkhof; Hanneke Rhodius-Meester; Betty M. Tijms; Afina W. Lemstra; Wiesje M. van der Flier; Jyrki Lötjönen; Daniel Rueckert (MICCAI (2), 2016)

A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation. - Chen Qin; Ricardo Guerrero Moreno; Christopher Bowles; Christian Ledig; Philip Scheltens; Frederik Barkhof; Hanneke Rhodius-Meester; Betty M. Tijms; Afina W. Lemstra; Wiesje M. van der Flier; Ben Glocker; Daniel Rueckert (MLMI@MICCAI, 2016)

The Association of Glucose Metabolism and Eigenvector Centrality in Alzheimer's Disease. - Sofie M. Adriaanse; Alle Meije Wink; Betty M. Tijms; Rik Ossenkoppele; Sander C. J. Verfaillie; Adriaan A. Lammertsma; Ronald Boellaard; Philip Scheltens; Bart N. M. van Berckel; Frederik Barkhof (Brain Connect., 2016)

Longitudinal reproducibility of default-mode network connectivity in healthy elderly participants: A multicentric resting-state fMRI study. - Jorge Jovicich; Ludovico Minati; Moira Marizzoni; Rocco Marchitelli; Roser Sala-Llonch; David Bartrés-Faz; Jennifer Arnold; Jens Benninghoff; Ute Fiedler; Luca Roccatagliata; Agnese Picco; Flavio Nobili; et al. (NeuroImage, 2016)

The European DTI Study on Dementia - A multicenter DTI and MRI study on Alzheimer's disease and Mild Cognitive Impairment. - Katharina Brueggen; Michel J. Grothe; Martin Dyrba; Andreas Fellgiebel; Florian U. Fischer; Massimo Filippi; Federica Agosta; Peter J. Nestor; Eva M. Meisenzahl; Janusch Blautzik; Lutz Frölich; Lucrezia Hausner; et al. (NeuroImage, 2017)

Performance of five research-domain automated WM lesion segmentation methods in a multi-center MS study. - Alexandra de Sitter; Martijn D. Steenwijk; Aurélie Ruet; Adriaan Versteeg; Yaou Liu; Ronald A. van Schijndel; Petra J. W. Pouwels; Iris D. Kilsdonk; Keith S. Cover; Bob W. van Dijk; Stefan Ropele; Maria Assunta Rocca; et al. (NeuroImage, 2017)

Imaging biomarkers for the diagnosis of Prion disease. - Liane S. Canas; Benjamin C. Yvernault; Carole H. Sudre; Enrico De Vita; M. Jorge Cardoso; John S. Thornton; Frederik Barkhof; Sébastien Ourselin; Simon Mead; Marc Modat (Image Processing, 2018)

TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data. - Razvan V. Marinescu; Neil P. Oxtoby; Alexandra L. Young; Esther E. Bron; Arthur W. Toga; Michael W. Weiner; Frederik Barkhof; Nick C. Fox; Polina Golland; Stefan Klein 001; Daniel C. Alexander (PRIME@MICCAI, 2019)

High-dimensional detection of imaging response to treatment in multiple sclerosis. - Baris Kanber; Parashkev Nachev; Frederik Barkhof; Alberto Calvi; Jorge Cardoso 002; Rosa Cortese; Ferran Prados; Carole H. Sudre; Carmen Tur; Sébastien Ourselin; Olga Ciccarelli (npj Digit. Medicine, 2019)

Author Correction: High-dimensional detection of imaging response to treatment in multiple sclerosis. - Baris Kanber; Parashkev Nachev; Frederik Barkhof; Alberto Calvi; Jorge Cardoso 002; Rosa Cortese; Ferran Prados; Carole H. Sudre; Carmen Tur; Sébastien Ourselin; Olga Ciccarelli (npj Digit. Medicine, 2019)

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. - Hugo J. Kuijf; Adrià Casamitjana; D. Louis Collins; Mahsa Dadar; Achilleas Georgiou; Mohsen Ghafoorian; Dakai Jin; April Khademi; Jesse Knight; Hongwei Li 004; Xavier Lladó; J. Matthijs Biesbroek; et al. (IEEE Trans. Medical Imaging, 2019)

Learning to Segment When Experts Disagree. - Le Zhang 005; Ryutaro Tanno; Kevin Bronik; Chen Jin; Parashkev Nachev; Frederik Barkhof; Olga Ciccarelli; Daniel C. Alexander (MICCAI (1), 2020)

Using Unsupervised Learning to Identify Clinical Subtypes of Alzheimer's Disease in Electronic Health Records. - Nonie Alexander; Daniel C. Alexander; Frederik Barkhof; Spiros C. Denaxas (MIE, 2020)

Disentangling Human Error from Ground Truth in Segmentation of Medical Images. - Le Zhang 005; Ryutaro Tanno; Moucheng Xu; Chen Jin; Joseph Jacob; Olga Cicarrelli; Frederik Barkhof; Daniel C. Alexander (NeurIPS, 2020)

Disentangling Human Error from the Ground Truth in Segmentation of Medical Images. - Le Zhang 005; Ryutaro Tanno; Mou-Cheng Xu; Chen Jin; Joseph Jacob; Olga Ciccarelli; Frederik Barkhof; Daniel C. Alexander (CoRR, 2020)

ExploreASL: An image processing pipeline for multi-center ASL perfusion MRI studies. - Henk J. M. M. Mutsaerts; Jan Petr; Paul F. C. Groot; Pieter Vandemaele; Silvia Ingala; Andrew D. Robertson; Lena Václavu; Inge R. Groote; Hugo J. Kuijf; Fernando O. Zelaya; Owen G. O'Daly; Saima Hilal; et al. (NeuroImage, 2020)

Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy. - Ferran Prados; Marcello Moccia; Aubrey Johnson; Marios C. Yiannakas; Francesco Grussu; Manuel Jorge Cardoso; Olga Ciccarelli; Sébastien Ourselin; Frederik Barkhof; Claudia A. M. Wheeler-Kingshott (NeuroImage, 2020)

Amygdalar nuclei and hippocampal subfields on MRI: Test-retest reliability of automated volumetry across different MRI sites and vendors. - Giulia Quattrini; Michela Pievani; Jorge Jovicich; Marco Aiello 003; Núria Bargalló; Frederik Barkhof; David Bartrés-Faz; Alberto Beltramello; Francesca Benedetta Pizzini; Olivier Blin; Régis Bordet; Massimo Caulo; et al. (NeuroImage, 2020)

Lesion-wise evaluation for effective performance monitoring of small object segmentation. - Irme Groothuis; Carole H. Sudre; Silvia Ingala; Josephine Barnes; Juan Domingo Gispert; Lauge Sørensen; Akshay Pai; Mads Nielsen; Sébastien Ourselin; M. Jorge Cardoso; Frederik Barkhof; Marc Modat (Image Processing, 2021)

Identifying and evaluating clinical subtypes of Alzheimer's disease in care electronic health records using unsupervised machine learning. - Nonie Alexander; Daniel C. Alexander; Frederik Barkhof; Spiros C. Denaxas (BMC Medical Informatics Decis. Mak., 2021)

Parametric imaging of dual-time window [18F]flutemetamol and [18F]florbetaben studies. - Fiona Heeman; Maqsood Yaqub; Janine Hendriks; Ilona Bader; Frederik Barkhof; Juan Domingo Gispert; Bart N. M. van Berckel; Isadora Lopes Alves; Adriaan A. Lammertsma (NeuroImage, 2021)

Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging. - Pawel J. Markiewicz; Julian C. Matthews; John Ashburner; David M. Cash; David L. Thomas; Enrico De Vita; Anna Barnes; M. Jorge Cardoso; Marc Modat; Richard Brown 004; Kris Thielemans; Casper O. da Costa-Luis; et al. (NeuroImage, 2021)

Preoperative brain tumor imaging: models and software for segmentation and standardized reporting. - David Bouget; André Pedersen; Asgeir S. Jakola; Vasileios Kavouridis; Kyrre Eeg Emblem; Roelant S. Eijgelaar; Ivar Kommers; Hilko Ardon; Frederik Barkhof; Lorenzo Bello; Mitchel S. Berger; Marco Conti Nibali; et al. (CoRR, 2022)

An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training. - Daniele Ravì; Frederik Barkhof; Daniel C. Alexander; Geoffrey J. M. Parker; Arman Eshaghi (CoRR, 2022)

Computer-aided diagnosis and prediction in brain disorders. - Vikram Venkatraghavan; Sebastian R. van der Voort; Daniel Bos; Marion Smits; Frederik Barkhof; Wiro J. Niessen; Stefan Klein 001; Esther E. Bron (CoRR, 2022)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (CoRR, 2022)

Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models. - Neil P. Oxtoby; Cameron Shand; David M. Cash; Daniel C. Alexander; Frederik Barkhof (Frontiers Artif. Intell., 2022)

Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia. - Daniele Ravì; Stefano B. Blumberg; Silvia Ingala; Frederik Barkhof; Daniel C. Alexander; Neil P. Oxtoby (Medical Image Anal., 2022)

A Coupled-Mechanisms Modelling Framework for Neurodegeneration. - Tiantian He 002; Elinor Thompson; Anna Schroder; Neil P. Oxtoby; Ahmed Abdulaal; Frederik Barkhof; Daniel C. Alexander (MICCAI (8), 2023)

DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification. - Lemuel Puglisi; Arman Eshaghi; Geoff J. M. Parker; Frederik Barkhof; Daniel C. Alexander; Daniele Ravì (MIDL, 2023)

Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation. - Mariam Zabihi; Chayanin Tangwiriyasakul; Silvia Ingala; Luigi Lorenzini; Robin Camarasa; Frederik Barkhof; Marleen de Bruijne; M. Jorge Cardoso; Carole H. Sudre (MLMI@MICCAI (2), 2023)

Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks. - Ragnhild Holden Helland; Alexandros Ferles; André Pedersen; Ivar Kommers; Hilko Ardon; Frederik Barkhof; Lorenzo Bello; Mitchel S. Berger; Tora Dunås; Marco Conti Nibali; Julia Furtner; Shawn Hervey-Jumper; et al. (CoRR, 2023)

NiftyPAD - Novel Python Package for Quantitative Analysis of Dynamic PET Data. - Jieqing Jiao; Fiona Heeman; Rachael Dixon; Catriona Wimberley; Isadora Lopes Alves; Juan Domingo Gispert; Adriaan A. Lammertsma; Bart N. M. van Berckel; Casper O. da Costa-Luis; Pawel Markiewicz; David M. Cash; M. Jorge Cardoso; et al. (Neuroinformatics, 2023)

Transferability of Alzheimer's disease progression subtypes to an independent population cohort. - Hanyi Chen; Alexandra L. Young; Neil P. Oxtoby; Frederik Barkhof; Daniel C. Alexander; André Altmann (NeuroImage, 2023)

Learning from multiple annotators for medical image segmentation. - Le Zhang 005; Ryutaro Tanno; Moucheng Xu; Yawen Huang; Kevin Bronik; Chen Jin; Joseph Jacob; Yefeng Zheng 001; Ling Shao 001; Olga Ciccarelli; Frederik Barkhof; Daniel C. Alexander (Pattern Recognit., 2023)

Evaluation of novel data-driven metrics of amyloid β deposition for longitudinal PET studies. - Ariane Bollack; Pawel J. Markiewicz; Alle Meije Wink; Lloyd Prosser; Johan Lilja; Pierrick Bourgeat; Jonathan M. Schott; William Coath; Lyduine E. Collij; Hugh G. Pemberton; Gill Farrar; Frederik Barkhof; et al. (NeuroImage, 2023)

Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI. - Pablo Laso; Stefano Cerri; Annabel Sorby-Adams; Jennifer Guo; Farrah Mateen; Philipp Goebl; Jiaming Wu; Peirong Liu; Hongwei Bran Li; Sean I. Young; Benjamin Billot; Oula Puonti; et al. (ISBI, 2024)

Glioblastoma Segmentation from Early Post-operative MRI: Challenges and Clinical Impact. - Ragnhild Holden Helland; David Bouget; Roelant S. Eijgelaar; Philip C. de Witt Hamer; Frederik Barkhof; Ole Solheim; Ingerid Reinertsen (MICCAI (6), 2024)

P-Count: Persistence-Based Counting of White Matter Hyperintensities in Brain MRI. - Xiaoling Hu 002; Annabel Sorby-Adams; Frederik Barkhof; W. Taylor Kimberly; Oula Puonti; Juan Eugenio Iglesias (TGI3@MICCAI, 2024)

Paired plasma lipidomics and proteomics analysis in the conversion from mild cognitive impairment to Alzheimer's disease. - Alicia Gómez-Pascual; Talel Naccache; Jin Xu; Kourosh Hooshmand; Asger Wretlind; Martina Gabrielli; Marta Tiffany Lombardo; Liu Shi; Noel J. Buckley; Betty M. Tijms; Stephanie J. B. Vos; Mara ten Kate; et al. (Comput. Biol. Medicine, 2024)

Deep learning enables accurate brain tissue microstructure analysis based on clinically feasible diffusion magnetic resonance imaging. - Yuxing Li; Zhizheng Zhuo; Chenghao Liu; Yunyun Duan; Yulu Shi; Tingting Wang; Runzhi Li; Yanli Wang; Jiwei Jiang; Jun Xu; Decai Tian; Xinghu Zhang; et al. (NeuroImage, 2024)

An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training. - Daniele Ravì; Frederik Barkhof; Daniel C. Alexander; Lemuel Puglisi; Geoffrey J. M. Parker; Arman Eshaghi (Medical Image Anal., 2024)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (Medical Image Anal., 2024)

A large-scale multi-centre study characterising atrophy heterogeneity in Alzheimer's disease. - Vikram Venkatraghavan; Damiano Archetti; Pierrick Bourgeat; Chenyang Jiang; Mara ten Kate; Anna Catharina van Loenhoud; Rik Ossenkoppele; Charlotte E. Teunissen; Elsmarieke van de Giessen; Yolande A. L. Pijnenburg; Giovanni B. Frisoni; Béla Weiss; et al. (NeuroImage, 2025)

A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling. - Tiantian He 002; Keyue Jiang; An Zhao; Anna Schroder; Elinor Thompson; Sonja Soskic; Frederik Barkhof; Daniel C. Alexander (CoRR, 2025)

Automatic and standardized surgical reporting for central nervous system tumors. - David Bouget; Mathilde Faanes; Asgeir Store Jakola; Frederik Barkhof; Hilko Ardon; Lorenzo Bello; Mitchel S. Berger; Shawn Hervey-Jumper; Julia Furtner; Albert J. S. Idema; Barbara Kiesel; Georg Widhalm; et al. (CoRR, 2025)

Structured reporting of gliomas based on VASARI criteria to improve report content and consistency. - Olivia Goodkin; Jiaming Wu; Hugh Pemberton; Ferran Prados; Sjoerd B. Vos; Stefanie Thust; John S. Thornton; Tarek A. Yousry; Sotirios Bisdas; Frederik Barkhof (BMC Medical Imaging, 2025)